Authors: Brian Wolshon; Vinayak V. Dixit
Addresses: Department of Civil and Environmental Engineering, Gulf Coast Research Center for Evacuation and Transportation Resiliency, Louisiana State University, Baton Rouge, LA 74803, USA. ' Gulf Coast Research Center for Evacuation and Transportation Resiliency, Louisiana State University, Baton Rouge, LA 74803, USA
Abstract: History has shown that evacuation planning has been based largely on lessons learned from prior events. While it yields incremental improvements, this approach also results in plans that tend to address failures 'of past evacuations', while leaving vulnerabilities to unforeseen conditions. Traffic simulation is a tool that can be used to evaluate evacuation plans and test contingencies not yet experienced or imagined. This paper discusses an effort to develop and test an agent-based travel demand and simulation model of the New Orleans regional multimodal evacuation plan. It is among the first to integrate a multimodal evacuation process into a regional traffic model with over a million vehicles, covering thousands of square miles, over two days and the first to use field recorded evacuation data for calibration and validation. The result of the model were used to quantitative and qualitative assess speed, volume, density, and congestion formation and recovery throughout the evacuation network.
Keywords: multimodal evacuation; traffic simulation; TRANSIMS; speed profiles; USA; United States; traffic modelling; regional evacuation; evacuation planning; emergency management; disaster management; agent-based simulation; travel demand; agent-based systems; multi-agent systems; traffic volume; traffic density; congestion formation; congestion recovery.
International Journal of Advanced Intelligence Paradigms, 2012 Vol.4 No.1, pp.71 - 82
Available online: 15 May 2012Full-text access for editors Access for subscribers Purchase this article Comment on this article